Aadi Mondal is a software developer with eight years of experience building low-latency, production-grade systems across networking, trading infrastructure, and research-driven projects. Currently at Google, he works on encrypted systems and previously improved VM-to-VM reliability in Google's SDN stack and shipped hundreds of telemetry and monitoring features. At Hudson River Trading he engineered C++ libraries and Python test frameworks for latency-sensitive futures trading and built post-trade verification tools for European markets. His research at UW–Madison combined empirical DNS analysis with system-level insights, reflecting a strong bridge between academic measurement and production engineering. Comfortable across C++, Python, Kotlin, React and cloud-native tooling, he brings both performance-focused systems thinking and practical product delivery to complex distributed environments. An early adopter of pragmatic automation, he often reduces risk by moving configuration-driven behaviors out of core code paths to enable faster iteration without redeploys.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Wisconsin-Madison
Bachelor of Technology - BTech Electrical Electronics and Communications Engineering, Bachelor of Technology - BTech Electrical Electronics and Communications Engineering at Indian Institute of Technology, Kharagpur
Contributions:8 commits, 6 pushes, 1 branch in 6 months
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